More README tweaks

README.md

@@ -22,14 +22,14 @@ Nowadays, the cost of computing many different models and hyperparameters is muc
 
 The models generated by automl-gs are intended to give a very strong *baseline* for solving a given problem; they're not the end-all-be-all that often accompanies the AutoML hype, but the resulting code is easily tweakable to improve from the baseline.
 
-You can view the hyperparameters and their values [here](automl_gs/hyperparameters.yml), and the metrics that can be optimized [here](automl_gs/metrics.yml)
+You can view the hyperparameters and their values [here](automl_gs/hyperparameters.yml), and the metrics that can be optimized [here](automl_gs/metrics.yml).
 
 ## Framework Support
 
 Currently automl-gs supports the generation of models for regression and classification problems using the following Python frameworks:
 
 * TensorFlow (via `tf.keras`) | `tensorflow`
-* XGBoost (w/ hist method) | `xgboost`
+* XGBoost (w/ histogram binning) | `xgboost`
 
 To be implemented: